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Ultrafast Spectroscopy of Photoactive Molecular Systems from First Principles: Where We Stand Today and Where We Are Going.


ABSTRACT: Computational spectroscopy is becoming a mandatory tool for the interpretation of the complex, and often congested, spectral maps delivered by modern non-linear multi-pulse techniques. The fields of Electronic Structure Methods, Non-Adiabatic Molecular Dynamics, and Theoretical Spectroscopy represent the three pillars of the virtual ultrafast optical spectrometer, able to deliver transient spectra in silico from first principles. A successful simulation strategy requires a synergistic approach that balances between the three fields, each one having its very own challenges and bottlenecks. The aim of this Perspective is to demonstrate that, despite these challenges, an impressive agreement between theory and experiment is achievable now regarding the modeling of ultrafast photoinduced processes in complex molecular architectures. Beyond that, some key recent developments in the three fields are presented that we believe will have major impacts on spectroscopic simulations in the very near future. Potential directions of development, pending challenges, and rising opportunities are illustrated.

SUBMITTER: Conti I 

PROVIDER: S-EPMC7901644 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Ultrafast Spectroscopy of Photoactive Molecular Systems from First Principles: Where We Stand Today and Where We Are Going.

Conti Irene I   Cerullo Giulio G   Nenov Artur A   Garavelli Marco M  

Journal of the American Chemical Society 20200913 38


Computational spectroscopy is becoming a mandatory tool for the interpretation of the complex, and often congested, spectral maps delivered by modern non-linear multi-pulse techniques. The fields of <i>Electronic Structure Methods</i>, <i>Non-Adiabatic Molecular Dynamics</i>, and <i>Theoretical Spectroscopy</i> represent the three pillars of the <i>virtual ultrafast optical spectrometer</i>, able to deliver transient spectra <i>in silico</i> from first principles. A successful simulation strateg  ...[more]

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